Beneficial Effect of Alcohol Withdrawal on Gut Permeability and Microbial Translocation in Patients with Alcohol Use Disorder

Donnadieu‐Rigole, Hélène; Pansu, Nathalie; Mura, Thibault; Pelletier, Stéphanie; Alarcon, Régis; Gamon, Lucie; Perney, Pascal; Apparailly, Florence; Lavigne, Jean‐Philippe; Dunyach-Rémy, Catherine

doi:10.1111/acer.13527

Cited by 35 publications

(34 citation statements)

References 46 publications

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“…Ten studies reported a statistically significant association between 12 anthropometric measurements and IP . The correlation between BMI and IP ranged from a weak to moderate positive correlation, of which most were reported to have a weak positive correlation (Table ).…”

Section: Resultsmentioning

confidence: 99%

“…The correlation between BMI and IP ranged from a weak to moderate positive correlation, of which most were reported to have a weak positive correlation (Table ). Two studies report BMI as an independent risk factor for altered IP as measured by zonulin levels ( β = 0.26; ±0.10; P < 0.05, β = 1.507; 0.34 SEM; P < 0.01) (Table ). Furthermore, it was reported in the general population that a BMI of >25.0 and BMI of >30.0 were associated with altered IP OR = 4.10 (95% CI: 1.87, 8.97; P < 0.001) and OR = 4.90 (95% CI: 1.49, 31.65; P = 0.047), respectively as measured by zonulin (>64 ng/mL) (Table ).…”

Section: Resultsmentioning

confidence: 99%

“…Comorbidity of chronic diseases such as diabetes, liver disease, metabolic syndrome, kidney disease and obesity were identified to increase the risk of IP . Moreover, the severity and activity of chronic health conditions including liver disease, metabolic syndrome, PCOS, coeliac disease and BMI were reported to correlate with the degree of IP. The notion that IP correlates with disease severity is further supported as the severity of particular risk factors also increase alongside the degree of IP .…”

Section: Discussionmentioning

confidence: 99%

“…10,23,42,51,[53][54][55][56][57][58] The correlation between BMI and IP ranged from a weak to moderate positive correlation, of which most were reported to have a weak positive correlation 23,44,51,55,56,59 (Table 5). Two studies report BMI as an independent risk factor for altered IP as measured by zonulin levels (β = 0.26; ±0.10; P < 0.05, β = 1.507; 0.34 SEM; P < 0.01) 51,54 ( 31.65; P = 0.047), respectively as measured by zonulin (>64 ng/mL) 23 ( Table 3). Two studies reported the strength of association between IP and both waist circumference and waist to hip ratio.…”

Section: Anthropometric Risk Factorsmentioning

confidence: 99%

“…85 While alcohol withdrawal is associated with a reduction of IP with a greater result seen in patients with a high BMI. 54 Based on these findings, dietary and lifestyle habits may present a key clinical feature that healthcare professionals may utilise in identifying patients at risk of altered IP.…”

Section: Dietary and Lifestyle Habits And Intestinal Permeabilitymentioning

confidence: 99%

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Risk factors associated with intestinal permeability in an adult population: A systematic review

et al. 2019

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Background Increased intestinal permeability (IP) involves the loss of integrity between the cells of the small intestine. IP has been suggested to contribute to the pathogenesis and exacerbation of many chronic diseases. Many potential risk factors for IP are proposed in contemporary literature. The purpose of this review is to identify the most significant risk factors for IP. Methods A systematic search of literature published up until September 2018 in the PubMed, EMBASE, CINAHL, and Scopus databases was conducted. Results A total of 47 articles met the inclusion criteria. Elevated levels of proinflammatory markers, dyslipidaemia, hyperglycaemia, insulin resistance, anthropometric measurements resembling obesity, advanced disease severity, comorbidity and the consumption of a Western‐style diet were identified as the strongest risk factors for altered intestinal integrity. The risk of IP increases when coupled with a multiple disease state or combined with other environmental risk factors. Furthermore, many of the identified risk factors such as anthropometric measurements and biomarkers were external from intestinal health and rather resembled a metabolic‐like condition. Conclusions This review identified a number of potential risk factors for IP, ranging from biomarkers to anthropometric measurements, demographics, dietary intake and chronic diseases. These risk factors warrant the attention of clinicians and other healthcare providers to aid the identification of potential patients at risk of altered IP. Further research needs to examine whether the identified risk factors are homogeneous with the diagnosis of IP or whether the disease state influences the association.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%